One Marketer, 40 Accounts, 75% Pipeline Conversion: Scaling 1:1 ABM with Moveworks
Trevor Deane was a solo ABM marketer tasked with delivering personalized 1:1 campaigns to 40 high-value accounts but lacked the scale to do it. The legacy ABM platform was slow, rigid, and produced microsites that didn't match brand standards, while sales had no real-time prospect engagement data—only a clunky dashboard with a 24-hour delay.
A legacy ABM platform produced slow, rigid campaigns and microsites that didn't match Moveworks' brand, and sales dashboards had a 24-hour data delay that made real-time prospect insight impossible.
Moveworks ran 40 personalized 1:1 campaigns—4x what ABM peers typically manage individually—achieving 75% pipeline conversion from targeted accounts within a month.
AEs reported 50% conversion rates on Mutiny-sourced leads, and the Chrome extension became a standard part of the daily sales workflow.
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Frequently asked questions
What did this team achieve with this AI workflow?
Moveworks ran 40 personalized 1:1 campaigns—4x what ABM peers typically manage individually—achieving 75% pipeline conversion from targeted accounts within a month.
What tools did this team use?
Mutiny, Mutiny's Campaigns product, Mutiny's Chrome extension, Slack.
What results were reported?
Pipeline conversion from targeted accounts: 75%; 1:1 campaigns launched: 40; campaigns vs ABM peers: 4x what ABM peers at similar companies typically manage individually; AE conversion rate on Mutiny-sourced leads: 50% (source-reported, not independently verified).
What failed first in this deployment?
A legacy ABM platform produced slow, rigid campaigns and microsites that didn't match Moveworks' brand, and sales dashboards had a 24-hour data delay that made real-time prospect insight impossible.
How is this marketing ops AI workflow structured?
Account research with sales → AI rewrites campaign copy → Personalized landing page delivery → Cross-channel campaign activation → Real-time prospect tracking.